{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "4d455800",
   "metadata": {},
   "source": [
    "# 【开源实习】针对任务类型Video Classification，开发可在香橙派AIpro开发板运行的应用\n",
    "任务编号：ICJ6R4 任务链接：[【开源实习】针对任务类型Video Classification，开发可在香橙派AIpro开发板运行的应用](https://gitee.com/mindspore/community/issues/ICJ6R4)\n",
    "\n",
    "## 环境准备\n",
    "开发者拿到香橙派开发板后，首先需要进行硬件资源确认，镜像烧录及CANN和MindSpore版本的升级，才可运行该案例，具体如下：\n",
    "\n",
    "开发板：香橙派Aipro或其他同硬件开发板  \n",
    "开发板镜像: Ubuntu镜像  \n",
    "CANN Toolkit/Kernels：8.0.0.beta1  \n",
    "MindSpore: 2.6.0  \n",
    "MindSpore NLP: 0.4.1  \n",
    "Python: 3.9\n",
    "\n",
    "### 镜像烧录\n",
    "运行该案例需要烧录香橙派官网ubuntu镜像，烧录流程参考[昇思MindSpore官网--香橙派开发专区--环境搭建指南--镜像烧录](https://www.mindspore.cn/tutorials/zh-CN/r2.7.0rc1/orange_pi/environment_setup.html) 章节。\n",
    "\n",
    "### CANN升级\n",
    "CANN升级参考[昇思MindSpore官网--香橙派开发专区--环境搭建指南--CANN升级](https://www.mindspore.cn/tutorials/zh-CN/r2.7.0rc1/orange_pi/environment_setup.html)章节。\n",
    "\n",
    "### MindSpore升级\n",
    "MindSpore升级参考[昇思MindSpore官网--香橙派开发专区--环境搭建指南--MindSpore升级](https://www.mindspore.cn/tutorials/zh-CN/r2.7.0rc1/orange_pi/environment_setup.html)章节。\n",
    "\n",
    "### 权重加载\n",
    "该应用使用`google/vivit-b-16x2-kinetics400`模型进行实现。\n",
    "ViViT 全称 Video Vision Transformer，由 Google 提出，是一类纯 Transformer 架构的视频分类模型。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "617d46db",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple\n",
      "Requirement already satisfied: mindnlp==0.4.1 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (0.4.1)\n",
      "Requirement already satisfied: av in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (15.1.0)\n",
      "Requirement already satisfied: opencv-python in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (4.11.0.86)\n",
      "Requirement already satisfied: mindspore>=2.2.14 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (2.6.0)\n",
      "Requirement already satisfied: tqdm in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (4.67.1)\n",
      "Requirement already satisfied: requests in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (2.32.4)\n",
      "Requirement already satisfied: datasets in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (4.0.0)\n",
      "Requirement already satisfied: evaluate in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (0.4.5)\n",
      "Requirement already satisfied: tokenizers==0.19.1 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (0.19.1)\n",
      "Requirement already satisfied: safetensors in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (0.5.3)\n",
      "Requirement already satisfied: sentencepiece in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (0.2.0)\n",
      "Requirement already satisfied: regex in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (2024.11.6)\n",
      "Requirement already satisfied: addict in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (2.4.0)\n",
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      "Requirement already satisfied: pyctcdecode in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (0.5.0)\n",
      "Requirement already satisfied: pytest==7.2.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (7.2.0)\n",
      "Requirement already satisfied: pillow>=10.0.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindnlp==0.4.1) (11.3.0)\n",
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      "Requirement already satisfied: iniconfig in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from pytest==7.2.0->mindnlp==0.4.1) (2.1.0)\n",
      "Requirement already satisfied: packaging in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from pytest==7.2.0->mindnlp==0.4.1) (25.0)\n",
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      "Requirement already satisfied: exceptiongroup>=1.0.0rc8 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from pytest==7.2.0->mindnlp==0.4.1) (1.3.0)\n",
      "Requirement already satisfied: tomli>=1.0.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from pytest==7.2.0->mindnlp==0.4.1) (2.2.1)\n",
      "Requirement already satisfied: huggingface-hub<1.0,>=0.16.4 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from tokenizers==0.19.1->mindnlp==0.4.1) (0.33.4)\n",
      "Requirement already satisfied: filelock in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers==0.19.1->mindnlp==0.4.1) (3.18.0)\n",
      "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers==0.19.1->mindnlp==0.4.1) (2025.3.0)\n",
      "Requirement already satisfied: pyyaml>=5.1 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers==0.19.1->mindnlp==0.4.1) (6.0.2)\n",
      "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers==0.19.1->mindnlp==0.4.1) (4.14.1)\n",
      "Requirement already satisfied: hf-xet<2.0.0,>=1.1.2 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from huggingface-hub<1.0,>=0.16.4->tokenizers==0.19.1->mindnlp==0.4.1) (1.1.5)\n",
      "Requirement already satisfied: numpy>=1.19.3 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from opencv-python) (1.26.4)\n",
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      "Requirement already satisfied: asttokens>=2.0.4 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindspore>=2.2.14->mindnlp==0.4.1) (3.0.0)\n",
      "Requirement already satisfied: scipy>=1.5.4 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindspore>=2.2.14->mindnlp==0.4.1) (1.13.1)\n",
      "Requirement already satisfied: psutil>=5.6.1 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindspore>=2.2.14->mindnlp==0.4.1) (5.9.0)\n",
      "Requirement already satisfied: astunparse>=1.6.3 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindspore>=2.2.14->mindnlp==0.4.1) (1.6.3)\n",
      "Requirement already satisfied: dill>=0.3.7 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from mindspore>=2.2.14->mindnlp==0.4.1) (0.3.8)\n",
      "Requirement already satisfied: wheel<1.0,>=0.23.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from astunparse>=1.6.3->mindspore>=2.2.14->mindnlp==0.4.1) (0.45.1)\n",
      "Requirement already satisfied: six<2.0,>=1.6.1 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from astunparse>=1.6.3->mindspore>=2.2.14->mindnlp==0.4.1) (1.17.0)\n",
      "Requirement already satisfied: pyarrow>=15.0.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from datasets->mindnlp==0.4.1) (21.0.0)\n",
      "Requirement already satisfied: pandas in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from datasets->mindnlp==0.4.1) (2.3.1)\n",
      "Requirement already satisfied: xxhash in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from datasets->mindnlp==0.4.1) (3.5.0)\n",
      "Requirement already satisfied: multiprocess<0.70.17 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from datasets->mindnlp==0.4.1) (0.70.16)\n",
      "Requirement already satisfied: aiohttp!=4.0.0a0,!=4.0.0a1 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from fsspec[http]<=2025.3.0,>=2023.1.0->datasets->mindnlp==0.4.1) (3.12.14)\n",
      "Requirement already satisfied: aiohappyeyeballs>=2.5.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->mindnlp==0.4.1) (2.6.1)\n",
      "Requirement already satisfied: aiosignal>=1.4.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->mindnlp==0.4.1) (1.4.0)\n",
      "Requirement already satisfied: async-timeout<6.0,>=4.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->mindnlp==0.4.1) (5.0.1)\n",
      "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->mindnlp==0.4.1) (1.7.0)\n",
      "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->mindnlp==0.4.1) (6.6.3)\n",
      "Requirement already satisfied: propcache>=0.2.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->mindnlp==0.4.1) (0.3.2)\n",
      "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->mindnlp==0.4.1) (1.20.1)\n",
      "Requirement already satisfied: idna>=2.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from yarl<2.0,>=1.17.0->aiohttp!=4.0.0a0,!=4.0.0a1->fsspec[http]<=2025.3.0,>=2023.1.0->datasets->mindnlp==0.4.1) (3.10)\n",
      "Requirement already satisfied: charset_normalizer<4,>=2 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from requests->mindnlp==0.4.1) (3.4.2)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from requests->mindnlp==0.4.1) (2.5.0)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from requests->mindnlp==0.4.1) (2025.7.14)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from pandas->datasets->mindnlp==0.4.1) (2.9.0.post0)\n",
      "Requirement already satisfied: pytz>=2020.1 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from pandas->datasets->mindnlp==0.4.1) (2025.2)\n",
      "Requirement already satisfied: tzdata>=2022.7 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from pandas->datasets->mindnlp==0.4.1) (2025.2)\n",
      "Requirement already satisfied: pygtrie<3.0,>=2.1 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from pyctcdecode->mindnlp==0.4.1) (2.5.0)\n",
      "Requirement already satisfied: hypothesis<7,>=6.14 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from pyctcdecode->mindnlp==0.4.1) (6.136.2)\n",
      "Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /usr/local/miniconda3/envs/img/lib/python3.9/site-packages (from hypothesis<7,>=6.14->pyctcdecode->mindnlp==0.4.1) (2.4.0)\n",
      "\u001b[33mWARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager, possibly rendering your system unusable. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv. Use the --root-user-action option if you know what you are doing and want to suppress this warning.\u001b[0m\u001b[33m\n",
      "\u001b[0m"
     ]
    }
   ],
   "source": [
    "!pip install mindnlp==0.4.1 av opencv-python"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5cc3f3da",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[WARNING] DEVICE(10955,e7ffd506b020,python):2025-09-04-12:39:01.658.448 [mindspore/ccsrc/utils/dlopen_macro.h:165] DlsymAscend] Dynamically load symbol aclprofGetSupportedFeaturesV2 failed, result = /usr/local/Ascend/ascend-toolkit/latest/lib64/libmsprofiler.so: undefined symbol: aclprofGetSupportedFeaturesV2\n",
      "[WARNING] DEVICE(10955,e7ffd506b020,python):2025-09-04-12:39:01.658.740 [mindspore/ccsrc/utils/dlopen_macro.h:165] DlsymAscend] Dynamically load symbol aclrtEventGetTimestamp failed, result = /usr/local/Ascend/ascend-toolkit/latest/lib64/libascendcl.so: undefined symbol: aclrtEventGetTimestamp\n",
      "/usr/local/miniconda3/envs/img/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.\n",
      "  setattr(self, word, getattr(machar, word).flat[0])\n",
      "/usr/local/miniconda3/envs/img/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float64'> type is zero.\n",
      "  return self._float_to_str(self.smallest_subnormal)\n",
      "/usr/local/miniconda3/envs/img/lib/python3.9/site-packages/numpy/core/getlimits.py:549: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.\n",
      "  setattr(self, word, getattr(machar, word).flat[0])\n",
      "/usr/local/miniconda3/envs/img/lib/python3.9/site-packages/numpy/core/getlimits.py:89: UserWarning: The value of the smallest subnormal for <class 'numpy.float32'> type is zero.\n",
      "  return self._float_to_str(self.smallest_subnormal)\n",
      "[WARNING] ME(10955:255085976662048,MainProcess):2025-09-04-12:39:10.886.950 [mindspore/context.py:1402] For 'context.set_context', the parameter 'ascend_config' will be deprecated and removed in a future version. Please use the api mindspore.device_context.ascend.op_precision.precision_mode(),\n",
      "                                                       mindspore.device_context.ascend.op_precision.op_precision_mode(),\n",
      "                                                       mindspore.device_context.ascend.op_precision.matmul_allow_hf32(),\n",
      "                                                       mindspore.device_context.ascend.op_precision.conv_allow_hf32(),\n",
      "                                                       mindspore.device_context.ascend.op_tuning.op_compile() instead.\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import av  \n",
    "import numpy as np\n",
    "import mindspore as ms\n",
    "from mindnlp.transformers import VivitImageProcessor, VivitForVideoClassification\n",
    "import matplotlib.pyplot as plt\n",
    "import cv2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5c84639",
   "metadata": {},
   "source": [
    "### 定义帧采样方法和读取视频方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c3acbec0",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# 帧采样 & 读取\n",
    "def sample_frame_indices(clip_len=32, frame_sample_rate=4, seg_len=0):\n",
    "    \"\"\"\n",
    "    从整段视频里均匀采样 clip_len 帧，frame_sample_rate=每隔多少帧取一帧。\n",
    "    当 seg_len 真实帧数不足时，做边界保护。\n",
    "    \"\"\"\n",
    "    if seg_len == 0:\n",
    "        return np.arange(0, clip_len)  # 边界\n",
    "    converted_len = int(np.clip(clip_len * frame_sample_rate, 1, max(seg_len, 1)))\n",
    "    # 居中裁一段，再在这段里均匀取 clip_len 帧\n",
    "    start_idx = max(0, (seg_len - converted_len) // 2)\n",
    "    end_idx = min(seg_len, start_idx + converted_len)\n",
    "    indices = np.linspace(start_idx, end_idx - 1, num=clip_len, dtype=np.int64)\n",
    "    return indices\n",
    "\n",
    "def read_video_pyav(path, indices):\n",
    "    container = av.open(path)\n",
    "    stream = container.streams.video[0]\n",
    "    frames = []\n",
    "    for i, frame in enumerate(container.decode(stream)):\n",
    "        if i > indices[-1]:\n",
    "            break\n",
    "        if i in set(indices.tolist()):\n",
    "            img = frame.to_image()              \n",
    "            frames.append(np.array(img))       \n",
    "    container.close()\n",
    "    return np.stack(frames, axis=0)  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39cb37a4",
   "metadata": {},
   "source": [
    "### 加载模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4a8d67d8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 模型与预处理器\n",
    "# ViViT 使用 32 帧、224 分辨率的预处理\n",
    "image_processor = VivitImageProcessor.from_pretrained(\"google/vivit-b-16x2-kinetics400\")\n",
    "model = VivitForVideoClassification.from_pretrained(\"google/vivit-b-16x2-kinetics400\", ms_dtype=ms.float32)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34e200b4",
   "metadata": {},
   "source": [
    "### 采样视频"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "88fbdf00",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# 读取视频 & 采样帧\n",
    "video_path = \"/opt/image2text/shixi/video_cls.mp4\"   \n",
    "assert os.path.exists(video_path), f\"File not found: {video_path}\"\n",
    "\n",
    "# 先用 PyAV 打开一次，拿到总帧数\n",
    "container0 = av.open(video_path)\n",
    "total_frames = container0.streams.video[0].frames\n",
    "container0.close()\n",
    "\n",
    "# 从整段视频均匀采样\n",
    "indices = sample_frame_indices(clip_len=32, frame_sample_rate=4, seg_len=total_frames)\n",
    "video_frames = read_video_pyav(video_path, indices)  \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55f8b97a",
   "metadata": {},
   "source": [
    "### 推理"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bdf069f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "processed = image_processor(list(video_frames), return_tensors=\"np\")\n",
    "pixel_values_np = processed[\"pixel_values\"] \n",
    "pixel_values = ms.Tensor(pixel_values_np)\n",
    "\n",
    "model.set_train(False)\n",
    "outputs = model(pixel_values=pixel_values)  \n",
    "logits = outputs.logits.asnumpy()\n",
    "pred_id = int(logits.argmax(-1)[0])\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c25eb5cd",
   "metadata": {},
   "source": [
    "### 将推理结果映射至标签"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d4d6dd75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Pred id: 213, label: petting cat\n"
     ]
    }
   ],
   "source": [
    "\n",
    "# cls标签\n",
    "with open(\"/opt/image2text/shixi/orange-pi-mindspore/Online/community/07-Video-Classification/cls.txt\") as f:\n",
    "    labels = [line.strip() for line in f]\n",
    "\n",
    "pred_label = labels[pred_id]\n",
    "\n",
    "print(f\"Pred id: {pred_id}, label: {pred_label}\")\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a2489806",
   "metadata": {},
   "source": [
    "### 展示效果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "1dfd1c88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "frame = video_frames[0]   \n",
    "# 在图上显示\n",
    "plt.figure(figsize=(6,6))\n",
    "plt.imshow(frame)\n",
    "plt.axis(\"off\")\n",
    "\n",
    "# 在左上角加预测类别\n",
    "plt.text(\n",
    "    10, 30, \n",
    "    f\"Pred: {pred_label}\", \n",
    "    color=\"yellow\", fontsize=16, \n",
    "    bbox=dict(facecolor=\"black\", alpha=0.5)\n",
    ")\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28aeac55",
   "metadata": {},
   "source": [
    "### 将采样帧合成视频并保存"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "14855393",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "带预测结果的视频已保存到 output_with_pred.mp4\n"
     ]
    }
   ],
   "source": [
    "save_path = \"output_with_pred.mp4\"\n",
    "h, w, _ = video_frames[0].shape\n",
    "fps = 10  # 输出帧率，可以自己设\n",
    "\n",
    "fourcc = cv2.VideoWriter_fourcc(*\"mp4v\")\n",
    "out = cv2.VideoWriter(save_path, fourcc, fps, (w, h))\n",
    "\n",
    "for frame in video_frames:\n",
    "    # OpenCV 需要 BGR\n",
    "    frame_bgr = cv2.cvtColor(frame, cv2.COLOR_RGB2BGR)\n",
    "    # 在左上角叠加预测类别\n",
    "    cv2.putText(\n",
    "        frame_bgr, f\"Pred: {pred_label}\", (20, 40),\n",
    "        cv2.FONT_HERSHEY_SIMPLEX, 1.2, (0, 255, 255), 3\n",
    "    )\n",
    "    out.write(frame_bgr)\n",
    "\n",
    "out.release()\n",
    "print(f\"带预测结果的视频已保存到 {save_path}\")\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "img",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.23"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
